このエントリーをはてなブックマークに追加


ID 69546
フルテキストURL
fulltext.pdf 1.23 MB
著者
Hattori, Jun Faculty of Medicine, Osaka University
Tanaka, Aiko Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine
Kosaka, Junko Department of Anesthesiology and Resuscitology, Okayama University Hospital
Hirao, Osamu Department of Anesthesiology, Osaka General Medical Center
Furushima, Nana Department of Anesthesiology and Intensive Care Medicine, Kobe University Hospital
Maki, Yuichi Department of Anesthesiology, Toho University Ohashi Medical Center
Kabata, Daijiro Center for Mathematical and Data Science, Kobe University
Uchiyama, Akinori Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine
Egi, Moritoki Department of Anesthesia, Kyoto University Hospital
Morimatsu, Hiroshi Department of Anesthesiology and Resuscitology, Okayama University Hospital ORCID Kaken ID publons researchmap
Mizobuchi, Satoshi Department of Anesthesiology and Intensive Care Medicine, Kobe University Hospital
Kotake, Yoshifumi Department of Anesthesiology, Toho University Ohashi Medical Center
Shintani, Ayumi Department of Medical Statistics, Graduate School of Medicine, Osaka Metropolitan University
Koyama, Yukiko Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine
Yoshida, Takeshi Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine
Fujino, Yuji Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine
抄録
Background Postoperative patients constitute majority of critically ill patients, although factors predicting extubation failure in this group of patients remain unidentified. Aiming to propose clinical predictors of reintubation in postoperative patients, we conducted a post-hoc analysis of a multicenter prospective observational study.
Methods This study included postoperative critically ill patients who underwent mechanical ventilation for > 24 h and were extubated after a successful 30-min spontaneous breathing trial. The primary outcome was reintubation within 48 h after extubation, and clinical predictors for reintubation were investigated using logistic regression analyses.
Results Among the 355 included patients, 10.7% required reintubation. Multivariable logistic regression identified that the number of endotracheal suctioning episodes during the 24 h before extubation and underlying respiratory disease or pneumonia occurrence were significantly associated with reintubation (adjusted odds ratio [OR] 1.11, 95% confidence interval [CI] 1.05–1.18, p < 0.001; adjusted OR 2.58, 95%CI 1.30–5.13, p = 0.007). The probability of reintubation was increased significantly with the higher frequency of endotracheal suctioning, as indicated by restricted cubic splines. Subgroup analysis showed that these predictors were consistently associated with reintubation regardless of the use of noninvasive respiratory support after extubation.
Conclusions Endotracheal suctioning frequency and respiratory complications were identified as independent predictors of reintubation. These readily obtainable predictors may aid in decision-making regarding the extubation of postoperative patients.
キーワード
Reintubation
Extubation failure
Endotracheal suctioning
Postoperative patient
Clinical predictor
Critical care
発行日
2025-03-15
出版物タイトル
BMC Anesthesiology
25巻
1号
出版者
Springer Science and Business Media LLC
開始ページ
127
ISSN
1471-2253
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© The Author(s) 2025, corrected publication 2025.
論文のバージョン
publisher
PubMed ID
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.1186/s12871-025-02996-1
ライセンス
http://creativecommons.org/licenses/by/4.0/
Citation
Hattori, J., Tanaka, A., Kosaka, J. et al. Clinical predictors of extubation failure in postoperative critically ill patients: a post-hoc analysis of a multicenter prospective observational study. BMC Anesthesiol 25, 127 (2025). https://doi.org/10.1186/s12871-025-02996-1
助成情報
24K02547: 患者人工呼吸不同調に対する人工呼吸器最適調節システムの開発 ( 独立行政法人日本学術振興会 / Japan Society for the Promotion of Science )